Evaluation of the relationship between inpatient COVID-19 mortality and chest CT severity score

被引:36
作者
Abbasi, Bita [1 ]
Akhavan, Reza [2 ]
Khameneh, Afshar Ghamari [1 ]
Zandi, Behrouz [1 ]
Farrokh, Donya [1 ]
Rad, Masoud Pezeshki [1 ]
Laein, Ali Feyzi [1 ]
Darvish, Afrouz [1 ]
Bijan, Bijan [3 ]
机构
[1] Mashhad Univ Med Sci, Dept Radiol, Fac Med, Mashhad, Razavi Khorasan, Iran
[2] Mashhad Univ Med Sci, Dept Emergency Med, Fac Med, Mashhad, Razavi Khorasan, Iran
[3] Univ Calif Davis, Med Ctr WOS, Sutter Med Grp SMG, Sacramento, CA 95817 USA
关键词
COVID-19; Survival; Mortality; Computed tomography;
D O I
10.1016/j.ajem.2020.09.056
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Objectives: There is scarce data available on the prognostic application of chest CT. The main purpose of this study was to evaluate the performance of a semi-quantitative CT severity score in identifying the risk of mortality in COVID-19 patients. Methods: This retrospective cohort study was performed on 262 hospitalized COVID-19 patients. The CT severity score was assessed by two independent radiologists using a method previously used to score the severity of acute respiratory distress syndrome on thin slice lung CT. Results: Multivariate regression analysis showed increasing odds of in-hospital death associated with older age, and the presence of coronary artery disease at the time of admission. The mean CT severity score was 7.5 in the survivor group and 14.5 in the deceased group. Overall, the lower zones were the most frequently affected sites in COVID-19. There was significant difference between the survivor and deceased groups regarding CT severity scores. Multivariate regression analysis showed increasing odds of in-hospital death associated with higher CT severity score at admission. Conclusions: Our results show that mortality was significantly higher in patients with higher CT severity score even after adjustment for clinical, demographics and laboratory parameters. However, this study is performed retrospectively and needs to be validated in a prospective study. (C) 2020 Elsevier Inc. All rights reserved.
引用
收藏
页码:458 / 463
页数:6
相关论文
共 8 条
  • [1] Fleischner Society:: Glossary of terms tor thoracic imaging
    Hansell, David M.
    Bankier, Alexander A.
    MacMahon, Heber
    McLoud, Theresa C.
    Mueller, Nestor L.
    Remy, Jacques
    [J]. RADIOLOGY, 2008, 246 (03) : 697 - 722
  • [2] Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China (vol 395, pg 497, 2020)
    Huang, C.
    Wang, Y.
    Li, X.
    [J]. LANCET, 2020, 395 (10223) : 496 - 496
  • [3] Huang CL, 2020, LANCET, V395, P497, DOI [10.1016/S0140-6736(20)30211-7, 10.1016/S0140-6736(20)30183-5]
  • [4] Severe acute respiratory syndrome:: Temporal lung changes at thin-section CT in 30 patients
    Ooi, GC
    Khong, PL
    Müller, NL
    Yiu, WC
    Zhou, LJ
    Ho, JCM
    Lam, B
    Nicolaou, S
    Tsang, KWT
    [J]. RADIOLOGY, 2004, 230 (03) : 836 - 844
  • [5] Simpson S, 2020, RADIOL-CARDIOTHORAC, V2, DOI [10.1148/ryct.2020200152, 10.1097/RTI.0000000000000524]
  • [6] Integrated Radiologic Algorithm for COVID-19 Pandemic
    Sverzellati, Nicola
    Milanese, Gianluca
    Milone, Francesca
    Balbi, Maurizio
    Ledda, Roberta E.
    Silva, Mario
    [J]. JOURNAL OF THORACIC IMAGING, 2020, 35 (04) : 228 - 233
  • [7] Temporal Changes of CT Findings in 90 Patients with COVID-19 Pneumonia: A Longitudinal Study
    Wang, Yuhui
    Dong, Chengjun
    Hu, Yue
    Li, Chungao
    Ren, Qianqian
    Zhang, Xin
    Shi, Heshui
    Zhou, Min
    [J]. RADIOLOGY, 2020, 296 (02) : E55 - E63
  • [8] CT Features of Coronavirus Disease 2019 (COVID-19) Pneumonia in 62 Patients in Wuhan, China
    Zhou, Shuchang
    Wang, Yujin
    Zhu, Tingting
    Xia, Liming
    [J]. AMERICAN JOURNAL OF ROENTGENOLOGY, 2020, 214 (06) : 1287 - 1294